Senior Data Scientist

Jobtailor; Rio de Janeiro; Presencial; BRL 120 000 - 180 000; Tempo integral

Resumo da oferta

Jobtailor in Brazil's Rio de Janeiro invites a data scientist to develop predictive models for price forecasting, demand, generation, and other business indicators. You will build machine learning and statistical solutions to support decision-making in a collaborative, agile environment.

The role emphasizes time-series analysis, exploratory studies, scalable data pipelines in cloud environments, and translating complex analyses into actionable insights for technical and business stakeholders.

Qualificações

• Solid experience in Data Science and Analytics.
• Proficiency in Python and SQL.
• Hands-on experience with supervised and unsupervised machine learning algorithms.
• Advanced knowledge of statistical modeling.
• Experience with forecasting techniques and time series analysis.
• Ability to turn complex data into actionable business recommendations.
• Experience working in collaborative development environments using Git.
• Knowledge of agile methodologies.

Responsabilidades

• Develop and enhance predictive models for price forecasting, demand, and other indicators.
• Build ML and advanced statistical solutions to support decision-making.
• Work on time-series modeling and forecasting.
• Perform exploratory analyses and identify trends, patterns, and opportunities.
• Create prospective scenarios and studies to support strategic planning.
• Implement and operationalize models in production environments using MLOps best practices.
• Develop scalable data pipelines in cloud environments.
• Translate complex analyses into clear, actionable insights for technical and business stakeholders.
• Collaborate with multidisciplinary teams in agile environments.
• Contribute to the development of data science best practices, governance, and analytical quality.

Conhecimentos

Data Science

Python

SQL

Machine Learning

Time Series

Analytics

Git

Agile

Descrição da oferta de emprego

Responsibilities

• Develop and enhance predictive models for price forecasting, demand, generation, and other business indicators.
• Build machine learning and advanced statistical solutions to support decision‑making.
• Work on time‑series modeling and forecasting.
• Perform exploratory analyses and identify trends, patterns, and business opportunities.
• Create prospective scenarios and studies to support strategic planning.
• Implement and operationalize models in production environments using MLOps best practices.
• Develop scalable data pipelines in cloud environments.
• Translate complex analyses into clear, actionable insights for technical and business stakeholders.
• Collaborate with multidisciplinary teams in agile environments.
• Contribute to the development of data science best practices, governance, and analytical quality.

Requirements

• Solid experience in Data Science and Analytics.
• Proficiency in Python and SQL.
• Hands‑on experience with supervised and unsupervised machine learning algorithms.
• Advanced knowledge of statistical modeling.
• Experience with forecasting techniques and time series analysis.
• Ability to turn complex data into actionable business recommendations.
• Experience working in collaborative development environments using Git.
• Knowledge of agile methodologies.